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Amirreza Zamani
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2020 – today
- 2024
- [j3]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
On the Privacy-Utility Trade-Off With and Without Direct Access to the Private Data. IEEE Trans. Inf. Theory 70(3): 2177-2200 (2024) - [c9]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
Statistical Privacy Mechanism Design Using Separation Technique. EUSIPCO 2024: 735-739 - [c8]Amirreza Zamani, Sajad Daei, Tobias J. Oechtering, Mikael Skoglund:
Multi-Task Private Semantic Communication. ISIT 2024: 3480-3485 - [i14]Amirreza Zamani, Sajad Daei, Tobias J. Oechtering, Mikael Skoglund:
Multi-Task Private Semantic Communication. CoRR abs/2405.08709 (2024) - [i13]Amirreza Zamani, Borja Rodríguez Gálvez, Mikael Skoglund:
On Information Theoretic Fairness: Compressed Representations With Perfect Demographic Parity. CoRR abs/2408.13168 (2024) - [i12]Amirreza Zamani, Mikael Skoglund:
Improving Achievability of Cache-Aided Private Variable-Length Coding with Zero Leakage. CoRR abs/2409.20133 (2024) - 2023
- [c7]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
Multi-User Privacy Mechanism Design with Non-zero Leakage. ITW 2023: 401-405 - [c6]Amirreza Zamani, Tobias J. Oechtering, Deniz Gündüz, Mikael Skoglund:
Private Variable-Length Coding with Zero Leakage. WIFS 2023: 1-6 - [c5]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
Private Variable-Length Coding with Non-Zero Leakage. WIFS 2023: 1-6 - [c4]Amirreza Zamani, Tobias J. Oechtering, Deniz Gündüz, Mikael Skoglund:
Cache-Aided Private Variable-Length Coding with Zero and Non-Zero Leakage. WiOpt 2023: 247-254 - [i11]Amirreza Zamani, Tobias J. Oechtering, Deniz Gündüz, Mikael Skoglund:
Cache-Aided Private Variable-Length Coding with Zero and Non-Zero Leakage. CoRR abs/2306.13184 (2023) - [i10]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
New Privacy Mechanism Design With Direct Access to the Private Data. CoRR abs/2309.09033 (2023) - [i9]Amirreza Zamani, Tobias J. Oechtering, Deniz Gündüz, Mikael Skoglund:
Private Variable-Length Coding with Sequential Encoder. CoRR abs/2309.09034 (2023) - [i8]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
Private Variable-Length Coding with Non-zero Leakage. CoRR abs/2310.19122 (2023) - [i7]Amirreza Zamani, Tobias J. Oechtering, Deniz Gündüz, Mikael Skoglund:
Private Variable-Length Coding with Zero Leakage. CoRR abs/2310.19837 (2023) - 2022
- [j2]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
Data Disclosure With Non-Zero Leakage and Non-Invertible Leakage Matrix. IEEE Trans. Inf. Forensics Secur. 17: 165-179 (2022) - [c3]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
Bounds for Privacy-Utility Trade-off with Non-zero Leakage. ISIT 2022: 620-625 - [c2]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
Bounds for Privacy-Utility Trade-off with Per-letter Privacy Constraints and Non-zero Leakage. ITW 2022: 13-18 - [i6]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
Bounds for Privacy-Utility Trade-off with Non-zero Leakage. CoRR abs/2201.08738 (2022) - [i5]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
Bounds for Privacy-Utility Trade-off with Per-letter Privacy Constraints and Non-zero Leakage. CoRR abs/2205.04881 (2022) - [i4]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
Multi-User Privacy Mechanism Design with Non-zero Leakage. CoRR abs/2211.15525 (2022) - [i3]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
On the Privacy-Utility Trade-off With and Without Direct Access to the Private Data. CoRR abs/2212.12475 (2022) - 2021
- [j1]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
A Design Framework for Strongly χ²-Private Data Disclosure. IEEE Trans. Inf. Forensics Secur. 16: 2312-2325 (2021) - [i2]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
Data Disclosure with Non-zero Leakage and Non-invertible Leakage Matrix. CoRR abs/2107.07484 (2021) - 2020
- [c1]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
Data Disclosure Mechanism Design with Non-zero Leakage. ITW 2020: 1-5 - [i1]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
A Design Framework for Epsilon-Private Data Disclosure. CoRR abs/2009.01704 (2020)
Coauthor Index
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